Principal Software Engineer

Microsoft
Redmond, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 296K

Job location

Redmond, United States of America

Tech stack

C
Java
JavaScript
Artificial Intelligence
Azure
Microsoft Online Services
Business Software
C Sharp (Programming Language)
C++
Profiling
Nvidia CUDA
Python
Machine Learning
Microsoft Office
Routing
Online Service Provider
Software Engineering
PyTorch
Large Language Models
Deep Learning
Information Technology
TensorRT

Job description

Monetization Engineering is responsible for building a unified, intelligent, and resilient monetization platform that drives revenue across Microsoft's AI-native surfaces, including Copilot, Search, MSN, Shopping, and both first-party and third-party ecosystems. Our mission is to enhance advertiser value, optimize platform performance, and achieve long-term revenue growth through large-scale systems, machine learning-driven optimization, experimentation, and cross-surface innovation.

We are seeking an experienced professional with expertise in GPU inference optimization and a deep understanding of LLM/SLM architecture to join our team. This is a unique opportunity to contribute to cutting-edge advancements in AI and deep learning while driving impactful solutions for Microsoft's advertising and monetization platforms.

Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.

Responsibilities

  • Serves as the technological core of Microsoft's rapidly expanding digital advertising business.
  • Focus on accelerating Microsoft's large-scale deep learning inference for Ads, Shopping, Copilot, and other surfaces, including both offline and online applications that support OpenAI LLM models and next-generation LLMs/SLMs.
  • Play a pivotal role in bridging state-of-the-art GPU and deep learning technologies with critical business applications.

Requirements

  • Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

  • Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter., * Master's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR Bachelor's Degree in Computer Science or related technical field AND 15+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
  • Solidexperience in GPU inference optimization (CUDA, TensorRT, Triton, or custom GPU kernels).
  • Proficiency in profiling tools (Nsight, TensorBoard, PyTorch profiler) and ability to identify CPU/GPU bottlenecks.
  • Deep understanding of LLM/SLM architectures (attention, embeddings, MoE, decoders).
  • Experience optimizing latencycritical online services.
  • Experience with model compression (quantization, distillation, SVD, lowrank methods).
  • Experience in building highthroughput inference serving stacks (continuous batching, KVcache optimizations, routing).
  • Familiarity with Microsoft's DLIS, Talon routing, Triton/TensorRTLLM stack, and Azure/H100/A100 GPU environments.
  • Publications, competition wins, or realworld deployments related to model efficiency.

#MicrosoftAI

Software Engineering IC6 - The typical base pay range for this role across the U.S. is USD $163,000 - $296,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800 - $331,200 per year.

About the company

Microsoft is a global technology company headquartered in Redmond, Washington. Our mission is to empower every person and every organization on the planet to achieve more. We develop, license, and support a wide range of software products, services, and devices that help individuals and businesses realize their full potential.

Our flagship products include the Microsoft 365 productivity cloud, Windows operating system, Azure cloud platform, and Dynamics 365 business applications. We are also a leader in areas such as artificial intelligence, cybersecurity, developer tools, and gaming through Xbox and Game Pass.

With operations in more than 190 countries and over 220,000 employees worldwide, Microsoft is committed to responsible innovation, inclusive economic growth, and sustainability. We work closely with governments, industries, and communities to ensure that technology serves the public good and helps address some of the world’s most pressing challenges.

As we celebrate our 50th anniversary in 2025, we continue to look forward—investing in AI, cloud, and quantum computing to shape the future of work, education, and society at large scale.

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